Chainlit MCP Server for Cursor 6 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"chainlit": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Chainlit MCP Server
Connect your Chainlit Cloud projects to any AI agent and embrace a new paradigm of conversational observability. Analyze your AI app traffic directly from your terminal or chat.
Cursor's Agent mode turns Chainlit into an in-editor superpower. Ask Cursor to generate code using live data from Chainlit and it fetches, processes, and writes — all in a single agentic loop. 6 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Project Analytics — Trigger detailed data fetches mapping global traffic statistics, distinct user adoptions, and absolute utilization figures across your AI portfolio.
- Thread Introspection — Query explicit interaction boundaries isolating full chronological conversations from users securely and swiftly.
- Trace Logic Steps — Extrapolate internal logic jumps identifying explicit prompts, outputs, tool executions, and retrieval boundaries used per interaction.
- Qualitative Feedback — Automatically extract lists capturing precise thumbs up/down, implicit ratings, and explicit textual user reviews targeting your bot responses.
The Chainlit MCP Server exposes 6 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Chainlit to Cursor via MCP
Follow these steps to integrate the Chainlit MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Chainlit
Open Agent mode in chat and ask: "Using Chainlit, help me..." — 6 tools available
Why Use Cursor with the Chainlit MCP Server
Cursor AI Code Editor provides unique advantages when paired with Chainlit through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Chainlit + Cursor Use Cases
Practical scenarios where Cursor combined with the Chainlit MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Chainlit MCP Tools for Cursor (6)
These 6 tools become available when you connect Chainlit to Cursor via MCP:
get_stats
Retrieve explicit analytics statistics representing traffic boundaries and resource consumptions over native projects
get_thread
Retrieve the exact payload for a specific conversational thread locating exact node topologies
list_feedbacks
List absolute user review feedbacks rating explicitly conversational accuracy and value across deployments
list_projects
List explicit globally configured Chainlit Cloud projects managing independent app tracking spaces
list_steps
List raw programmatic interaction steps explicitly defining prompts and generations inside a single thread
list_threads
List conversational threads identifying user interaction boundaries inside a specific deployed project
Example Prompts for Chainlit in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Chainlit immediately.
"Retrieve the analytics stats of my currently enabled Chainlit cloud project targeting traffic."
"Search my cloud instance for the recent recorded chat interactions (threads) to fetch what clients asked today."
"Gather all negative feedbacks users submitted across this AI project."
Troubleshooting Chainlit MCP Server with Cursor
Common issues when connecting Chainlit to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Chainlit + Cursor FAQ
Common questions about integrating Chainlit MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Chainlit to Cursor
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.